The article discusses the relationship between correlation and regression analysis. It explains how correlation helps to understand the linear relationship between two variables, which can be shown using a scatter diagram. The correlation coefficient value ranges from -1 to +1, indicating the strength and direction of the relationship. Regression analysis finds the straight line relationship between variables using the least squares method. In cases with multiple independent variables, the goodness of fit is measured by the coefficient of determination.